Testing a flexible hydrological model (FLEXG) for streamflow simulation in the Krycklan catchment, Sweden
(2023) In Student thesis series INES NGEM01 20221Dept of Physical Geography and Ecosystem Science
- Abstract
- Streamflow analysis helps us understand the availability of water resources in a region or a river. Accurate and timely streamflow monitoring is essential to improve our understanding of the hydrological cycle. Streamflow information is also necessary for many applications, such as irrigation planning, watershed management, hydropower products, flood control, and integrated water resources management. Hydrological modelling is a common way to improve our understanding of streamflow dynamic change.
This study investigated a hydrological model (namely FLEXG) for streamflow simulation in a boreal catchment (the Krycklan Catchment) in the north of Sweden. Daily streamflow of the catchment and its sub-catchments were. The model performance... (More) - Streamflow analysis helps us understand the availability of water resources in a region or a river. Accurate and timely streamflow monitoring is essential to improve our understanding of the hydrological cycle. Streamflow information is also necessary for many applications, such as irrigation planning, watershed management, hydropower products, flood control, and integrated water resources management. Hydrological modelling is a common way to improve our understanding of streamflow dynamic change.
This study investigated a hydrological model (namely FLEXG) for streamflow simulation in a boreal catchment (the Krycklan Catchment) in the north of Sweden. Daily streamflow of the catchment and its sub-catchments were. The model performance was evaluated by Kling–Gupta efficiency (KGE), Nash–Sutcliffe efficiency (NSE), mean squared error (RMSE), Bias, and coefficient of determination (R2). Overall, FLEXG proved a good performance of streamflow simulation in the entire Krycklan catchment during the calibration (KGE = 0.88 and NSE = 0.75) and validation period (KGE = 0.81, NSE = 0.63). For sub-catchments, the FLEXG model also demonstrated strong applicability, with high KGE values (> 0.7) for eight sub-catchments during both the calibration and validation periods. Parameters applicability was analysed through the comparison of the performances by applying different parameter sets to the catchments.
There are some challenges and limitations in this study, including the availability of streamflow and meteorological data, which affects not only the applicability of the model but also the model performance; uncertainty in the model's structure as a general uncertainty for hydrological models; and parameter uncertainty for finding the optimal values of parameters for the studied catchment. Moreover, the parameter should be investigated in terms of the catchment characteristics, such as area, elevation, slope. (Less) - Popular Abstract
- Streamflow plays an important role in the hydrology cycle although it is a tiny proportion of the Earth's water that humans can exploit. It has some interactions with climate change, natural hazards, land use, and human activity. Streamflow analysis helps us understand the availability of water resources in a region or a river. Using hydrological models to simulate streamflow is a common way that has been rapidly developed in the past decades. It improves our understanding of streamflow dynamic change and helps us with many applications, such as irrigation planning, watershed management, hydropower products, flood control, and integrated water resources management.
This study tested a hydrological model (namely FLEXG) for streamflow... (More) - Streamflow plays an important role in the hydrology cycle although it is a tiny proportion of the Earth's water that humans can exploit. It has some interactions with climate change, natural hazards, land use, and human activity. Streamflow analysis helps us understand the availability of water resources in a region or a river. Using hydrological models to simulate streamflow is a common way that has been rapidly developed in the past decades. It improves our understanding of streamflow dynamic change and helps us with many applications, such as irrigation planning, watershed management, hydropower products, flood control, and integrated water resources management.
This study tested a hydrological model (namely FLEXG) for streamflow simulation in a boreal catchment called Krycklan in the north of Sweden. The FLEXG model was applied to simulate the daily catchment and sub-catchments streamflow. The modelling results were evaluated against measured streamflow at 12 sampling hydrometrical sites with varied time periods.
Different parameter sets were tested in the model through the selected catchment to study the parameters applicability. Results showed that overall, the FLEXG model proved a good performance of streamflow simulation in the entire Krycklan catchment. Additionally, eight sub-catchments have good performance during both the calibration and validation periods, which demonstrated the feasibility of the model.
However, the availability of observed streamflow and meteorological data is one of the challenges in this study that affect the applicability and performance of the model. Additionally, uncertainties of model structure and parameters were also discussed, which brought some limitations in this study. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9141938
- author
- Guo, Renkui LU
- supervisor
-
- Zheng Duan LU
- organization
- course
- NGEM01 20221
- year
- 2023
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- physical geography, ecosystem analysis, hydrology modelling, streamflow, FLEX model, Krycklan, snow cover, Kling–Gupta efficiency
- publication/series
- Student thesis series INES
- report number
- 633
- language
- English
- id
- 9141938
- date added to LUP
- 2023-12-05 14:57:49
- date last changed
- 2023-12-05 14:57:49
@misc{9141938,
abstract = {{Streamflow analysis helps us understand the availability of water resources in a region or a river. Accurate and timely streamflow monitoring is essential to improve our understanding of the hydrological cycle. Streamflow information is also necessary for many applications, such as irrigation planning, watershed management, hydropower products, flood control, and integrated water resources management. Hydrological modelling is a common way to improve our understanding of streamflow dynamic change.
This study investigated a hydrological model (namely FLEXG) for streamflow simulation in a boreal catchment (the Krycklan Catchment) in the north of Sweden. Daily streamflow of the catchment and its sub-catchments were. The model performance was evaluated by Kling–Gupta efficiency (KGE), Nash–Sutcliffe efficiency (NSE), mean squared error (RMSE), Bias, and coefficient of determination (R2). Overall, FLEXG proved a good performance of streamflow simulation in the entire Krycklan catchment during the calibration (KGE = 0.88 and NSE = 0.75) and validation period (KGE = 0.81, NSE = 0.63). For sub-catchments, the FLEXG model also demonstrated strong applicability, with high KGE values (> 0.7) for eight sub-catchments during both the calibration and validation periods. Parameters applicability was analysed through the comparison of the performances by applying different parameter sets to the catchments.
There are some challenges and limitations in this study, including the availability of streamflow and meteorological data, which affects not only the applicability of the model but also the model performance; uncertainty in the model's structure as a general uncertainty for hydrological models; and parameter uncertainty for finding the optimal values of parameters for the studied catchment. Moreover, the parameter should be investigated in terms of the catchment characteristics, such as area, elevation, slope.}},
author = {{Guo, Renkui}},
language = {{eng}},
note = {{Student Paper}},
series = {{Student thesis series INES}},
title = {{Testing a flexible hydrological model (FLEXG) for streamflow simulation in the Krycklan catchment, Sweden}},
year = {{2023}},
}